Side-by-side comparison of AI visibility scores, market position, and capabilities
AI supply chain risk intelligence platform. Unicorn ($1B+ valuation). Clients: DoD, NASA, Five Eyes, Fortune 500. Founded 2005, Arlington VA. Raised ~$310M. Private.
Interos was founded in 2005 in Arlington, Virginia, with the mission of giving enterprises and government agencies real-time visibility into the risk buried inside their extended supply chains — the multi-tier networks of suppliers, sub-suppliers, and fourth parties that traditional procurement tools cannot map or monitor. The company spent its first decade building the data infrastructure and entity resolution capabilities required to model global supply chain relationships at scale, before the market for supply chain risk intelligence became mainstream following a series of high-profile disruptions.\n\nInteros's AI platform continuously monitors over 400M business entities and their relationships, surfacing financial instability, geopolitical exposure, cyber vulnerabilities, ESG violations, and operational disruptions across a customer's full supplier network — not just tier-one vendors. Its multi-tier mapping capability is a core differentiator: most supply chain risk tools only track direct suppliers, while Interos automatically discovers and monitors the upstream dependencies that create hidden single points of failure. The platform delivers automated alerts, risk scores, and recommended actions through integrations with procurement, ERP, and GRC systems.\n\nInteros achieved a $1B+ unicorn valuation and counts the US Department of Defense, NASA, Five Eyes intelligence partners, and Fortune 500 enterprises among its clients — a customer base that reflects both the national security implications of supply chain transparency and the commercial demand from global manufacturers and financial institutions. The company raised approximately $175M in total funding and has grown as geopolitical fragmentation, pandemic disruptions, and regulatory requirements (including the CHIPS Act and EU supply chain due diligence laws) have elevated supply chain risk intelligence from a procurement tool to a board-level strategic priority.
$500M Series D at $11B valuation (Feb 2026) — largest voice AI funding round ever. $330M ARR; 1M+ developers using the API. Enterprise customers: Deutsche Telekom, Revolut, Meta, Salesforce. Voices in 32 languages; real-time cloning from 1 second of audio.
ElevenLabs was founded in 2022 by Piotr Dabkowski and Mati Staniszewski, two former Google and Palantir engineers who set out to break the language barrier using AI voice technology. The company specializes in AI-powered voice synthesis, cloning, and dubbing, enabling developers and enterprises to generate human-quality speech in over 30 languages. Its core technology combines deep learning models trained on massive speech datasets to produce natural-sounding voices indistinguishable from real humans.\n\nElevenLabs offers a suite of products including its flagship text-to-speech API, voice cloning tools, and an AI dubbing platform that localizes video content while preserving the speaker's original voice. Its products target a broad audience—from indie developers building audio apps to large enterprises deploying voice interfaces at scale. Key differentiators include ultra-low latency streaming synthesis, fine-grained voice customization, and a growing library of pre-built AI voices across accents and styles.\n\nElevenLabs has grown rapidly, surpassing $330M in annualized revenue and serving over 1 million developers. Enterprise clients include Deutsche Telekom, Spotify, and leading media companies. In February 2026, the company closed a $500M Series D at an $11B valuation, cementing its position as the market leader in AI voice. Its APIs power podcasts, audiobooks, video games, and customer service bots worldwide, making ElevenLabs the default infrastructure layer for AI-generated audio.
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